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SPACE RESEARCH in POLAND Report to COMMITTEE SPACE RESEARCH IN POLAND Report to COMMITTEE ON SPACE RESEARCH (COSPAR) 2020 Space Research Centre Polish Academy of Sciences and The Committee on Space and Satellite Research PAS Report to COMMITTEE ON SPACE RESEARCH (COSPAR) ISBN 978-83-89439-04-8 First edition © Copyright by Space Research Centre Polish Academy of Sciences and The Committee on Space and Satellite Research PAS Warsaw, 2020 Editor: Iwona Stanisławska, Aneta Popowska Report to COSPAR 2020 1 SATELLITE GEODESY Space Research in Poland 3 1. SATELLITE GEODESY Compiled by Mariusz Figurski, Grzegorz Nykiel, Paweł Wielgosz, and Anna Krypiak-Gregorczyk Introduction This part of the Polish National Report concerns research on Satellite Geodesy performed in Poland from 2018 to 2020. The activity of the Polish institutions in the field of satellite geodesy and navigation are focused on the several main fields: • global and regional GPS and SLR measurements in the frame of International GNSS Service (IGS), International Laser Ranging Service (ILRS), International Earth Rotation and Reference Systems Service (IERS), European Reference Frame Permanent Network (EPN), • Polish geodetic permanent network – ASG-EUPOS, • modeling of ionosphere and troposphere, • practical utilization of satellite methods in local geodetic applications, • geodynamic study, • metrological control of Global Navigation Satellite System (GNSS) equipment, • use of gravimetric satellite missions, • application of GNSS in overland, maritime and air navigation, • multi-GNSS application in geodetic studies. Report to COSPAR 2020 4 These activities were conducted mainly at the following research centers: • Faculty of Civil and Environmental Engineering, Gdansk University of Technology (GUT) • Faculty of Mining Surveying and Environmental Engineering, Department of Integrated Geodesy and Cartography, AGH University of Science and Technology • Department of Geodesy, University of Warmia and Mazury in Olsztyn (UWM) • Institute of Geodesy and Geoinformatics (IGG), Wrocław University of Environmental and Life Sciences (UPWr) • Department of Geodesy and Geodetic Astronomy Warsaw University of Technology • Faculty of Civil Engineering and Geodesy, Military University of Technology (MUT) • Department of Planetary Geodesy, The Space Research Centre • The Space Research Centre’s Astrogeodynamical Observatory in Borowiec • Central Office of Measures (GUM) • Institute of Meteorology and Water Management – National Research Institute (IMGW). This Report was compiled from information reported in a period from 2018 to 2020 by the correspondents from Polish institutions involved in the use of satellite navigation systems. Space Research in Poland 5 1.1 Faculty of Civil and Environmental Engineering, Gdansk University of Technology (GUT) Nykiel G., Figurski M., Baldysz Z. GNSS meteorology GUT have continued work related to the using of GNSS technique for meteorological application. This time, the special focus was put on the investigation of rapid and heavy weather event (derecho) occurred in Poland on 11th August 2017 (Nykiel et al. 2019). Observations from 278 GNSS permanent stations evenly distributed throughout Poland were used for this purpose. The zenith total delays (ZTD) with a 5-minute interval were estimated using Bernese GNSS Software (ver. 5.2) using PPP mode, and converted to the precipitable water vapour (PWV) parameters. Based on such prepared data two- dimensional maps of PWV distribution were created and compared with the composite reflectivity maps derived from EIG EUMETNET. Analysis of the obtained results has shown that changes of the PWV over Poland between 19:30 and 20:30 (UTC) clearly match changes of the refractivity at the same time (Fig. 1.1). The maximum PWV was observed at 20:30 and its value exceed 51 mm, which was twice as high as average PWV value in Poland. Generally, the precipitation zone was identified for the area with PWV exceeding 40 mm. Thanks to the dense network of GNSS receivers, PWV maps for the time between 16:30 and 22:00 have shown movement of the storm along with information about its intensity. It was state out that denser network of GNSS stations would improve these results, which is especially important since GNSS can provide data in real-time. Report to COSPAR 2020 6 Fig. 1.1. Composite reflectivity data maps with 2-km spatial resolution (top) and GNSS PWV maps interpolated from observations from the dense network of the GNSS receivers (bottom) over the study area on 11th August 2017 (19:30 to 20:30 UTC) in 30-minute steps. Next to the PWV, also 15-minute tropospheric gradients were analysed in this study. Since tropospheric gradients indicate anisotropy in the atmosphere, they should reflect changes in the troposphere caused by the weather events. Results have shown, that having a dense network of GNSS permanent stations, it is possible to indicate area characterized by the highest reflectivity (Fig. 1.2). Gradients estimated at 19:30 and 20:00 clearly pointed storm front, which was evidenced by both their size and direction. Although GNSS tropospheric gradients have limited range due to the number of stations and observed satellites, presented maps have shown that they can constitute for a valuable source of data for tasks related to the analysis of location and propagation of heavy weather events. Space Research in Poland 7 Fig. 1.2. Gridded gradients estimated from the GNSS observations (left: 19:30 UTC; right: 20:00 UTC) on the background of the composite reflectivity derived from the meteorological radars. A detailed analysis of the case study (PIWN station) confirmed high agreement between estimated GNSS PWV and PWV obtained from microwave radiometer (MWR), as well as with precipitation from meteorological radars and reflectivity data (Fig. 1.3). As it can be noticed, through all day GNSS and microwave radiometer gave similar results. A dash line in MWR during the main phase of the storm means that there was no possibility to conduct reliable MWR measurements. In contrast to this GNSS, as a weather independent technique, provided PWV data continuously with high accuracy. The maximum value of GNSS PWV, precipitation and reflectivity occurred at a similar time. A small shift between these three values results most probably from the temporal resolution of the analysed data. Both Precipitation and reflectivity were available every 30 minutes, while GNSS PWV was estimated every 5 minutes. Report to COSPAR 2020 8 Fig. 1.3. GNSS PWV (the black line), microwave radiometer PWV (MWR) (the red line), precipitation derived from the meteorological radars (blue bars) and the reflectivity measurements (purple) at PIWN station on 11th August 2017. GNSS ionospheric soundings The GUT team continue research related to the ionospheric inhomogeneities based on GNSS measurements. Nykiel et al. (2019) describe the method of estimating the height of the ionospheric disturbances based on a dense network of GNSS receivers and near zenith satellites. The presented method was originally used to detect ionospheric disturbances, its modelling and determination of its parameters (Nykiel et al., 2017). However, two separately created maps derived from observations from two GNSS satellites allow determination of the height of ionospheric inhomogeneities (HII) by the cross-correlation computation (Fig. 1.4). The presented method describes the characteristics of the ionospheric disturbances in the 4D space: latitude, longitude, time, and altitude. Space Research in Poland 9 Fig. 1.4. Scheme of the idea of the height of ionospheric inhomogeneities (HII) estimation. Signals from two GNSS satellites (SV1 and SV2) are received by the dense network of GNSS stations (black dots). Based on the acquired observations, two independently ionospheric inhomogeneities maps are created (blue and red area). The correlation coefficients are calculated for the common area. The whole process is repeated for several heights of the ionospheric layer. The highest correlation coefficient correspond to the actual HII. In Nykiel et al. (2019) results of the HII estimation during a geomagnetic storm in March 2013 were presented. It was state that during quiet geomagnetic conditions, estimated HII are similar to the height of F2 layer (hmF2) derived from the ionosondes. However, during the active phase of the storm, the HII increased significantly. This proved to be convergent with the changes of the slab ionospheric thickness and protons flux at the POES satellites orbit over Europe (Fig. 1.5). Report to COSPAR 2020 10 Fig. 1.5. Changes of the estimated height of the ionospheric inhomogeneities (HII) for the analysed period of time (March 13–20, 2013). Red diamonds: the HII obtained near 07 UTC from the maps derived from SV01 and SV32. Black diamonds: the HII obtained near 10 UTC from the maps derived from SV13 and SV23. As a comparison the slab thickness of ionosphere (blue solid line), the logarithm of the intensity of protons flux (mep0p1) at the POES satellites orbit over Europe (magenta dashed line), and hmF2 for corresponding epochs (orange circles) are shown. 푻풎 − 푻풔 empirical coefficients for the GNSS meteorology Another work undertaken at GUT was focus on improvement of water vapour weighted mean temperature (푇푚) estimation based on surface temperature (푇푠). The 푇푚 is a necessary factor for conversion ZTD to PWV/IWV. However, since its in-situ measurements do not provide as high temporal and spatial resolution as in case of GNSS measurements, there is necessity of using an empirical models to obtain 푇푚 value
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